Gianluigi Reni

IRCCS Eugenio Medea, Politecnico di Milano

Papers

12

Total Citations

305

H-Index

7

About

Gianluigi Reni is a prominent researcher whose work bridges pediatric neurorehabilitation and human-robot interaction, with particular expertise in motor recovery, gait disorders, and collaborative robotics. His most significant contributions center on developing and validating rehabilitative technologies for children with acquired brain injuries and cerebral palsy. Reni's groundbreaking work establishing minimum clinically important differences for the 6-Minute Walking Test and Gross Motor Function Measure (90 citations) has provided clinicians with essential benchmarks for evaluating treatment efficacy in pediatric populations. His research on immersive virtual reality platforms for walking rehabilitation in children with acquired brain injuries (71 citations) has helped reshape engagement-focused therapy, while his large-scale investigation of robot-assisted gait training across children with motor impairments (46 citations) demonstrated meaningful real-world clinical applications. More recently, Reni has expanded his focus to occupational health in human-cobot collaboration, contributing influential reviews on worker well-being in manufacturing environments (40 citations). Across more than a decade of research, he has consistently pursued quantitative, technology-driven approaches to rehabilitation and human factors, bridging clinical practice with engineering innovation and earning recognition across both medical and robotics communities.

Research Focus

Key Achievements

7
H-Index
12
Papers
305
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Minimum Clinically Important Difference of Gross Motor Function and Gait Endurance in Children with Motor Impairment: A Comparison of Distribution‐Based Approaches
90 citations · 2020
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 50
🏛 Institutions: IRCCS Eugenio Medea, Politecnico di Milano

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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